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Background:
Review

Current Understanding of DDX41 Mutations in Myeloid Neoplasms

by
Kunhwa Kim
,
Faustine Ong
and
Koji Sasaki
*
Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
Cancers 2023, 15(2), 344; https://doi.org/10.3390/cancers15020344
Submission received: 19 August 2022 / Revised: 22 December 2022 / Accepted: 23 December 2022 / Published: 5 January 2023
(This article belongs to the Special Issue Genomics of Rare Hematologic Cancers)
Review Reports Versions Notes

Abstract

:

Simple Summary

The DEAD-box RNA helicase 41, DDX41, is one of the most frequently identified mutations in myeloid neoplasms with germline predispositions, which represents 2% of the entire MDS/AML population. DDX41 is located at 5q35.3, and its mutation has unique features of male predominance and long-term cytopenia before the development of myeloid neoplasms. So far, mechanism studies revealed that DDX41 mutations, affected by both germline and somatic mutations, can be pathogenic by impairments in the normal function of genes involving RNA splicing and processing, ribosomal biogenesis, metabolism, cycle progression, and innate immunity. We are gaining a better understanding of disease from more studies coming out with larger cohorts. The survival impact of the mutation remains unclear, although recent larger studies suggest a better treatment response and survival in higher risk MDS/AML. Several studies showed a good response to lenalidomide in certain patients with MDS with DDX41 mutations. Early identification of stem-cell transplant donors in the family for patients with DDX41 mutations is crucial to avoid donor-derived leukemia from germline carriers. In this article, we reviewed the current understanding of DDX41 mutations in AML/MDS, including its pathogenesis and clinical characteristics, outcome, and treatment.

Abstract

The DEAD-box RNA helicase 41 gene, DDX41, is frequently mutated in hereditary myeloid neoplasms, identified in 2% of entire patients with AML/MDS. The pathogenesis of DDX41 mutation is related to the defect in the gene’s normal functions of RNA and innate immunity. About 80% of patients with germline DDX41 mutations have somatic mutations in another allele, resulting in the biallelic DDX41 mutation. Patients with the disease with DDX41 mutations reportedly often present with the higher-grade disease, but there are conflicting reports about its impact on survival outcomes. Recent studies using larger cohorts reported a favorable outcome with a better response to standard therapies in patients with DDX41 mutations to patients without DDX41 mutations. For stem-cell transplantation, it is important for patients with DDX41 germline mutations to identify family donors early to improve outcomes. Still, there is a gap in knowledge on whether germline DDX41 mutations and its pathology features can be targetable for treatment, and what constitutes an appropriate screening/surveillance strategy for identified carriers. This article reviews our current understanding of DDX41 mutations in myeloid neoplasms in pathologic and clinical features and their clinical implications.

1. Introduction

The assessment of next-generation sequencing in the study of myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) is now guiding treatment decisions and predicting survival along with age and comorbidity considerations at the time of diagnosis [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19]. The application of targeted therapies with FLT3 inhibitors, IDH inhibitors, and venetoclax has further improved outcomes in patients with MDS and AML in newly diagnosed and relapsed settings [20,21,22,23,24,25,26,27,28,29,30,31].
In recent years, the accumulation of genetic data in myeloid neoplasms from next-generation sequencing has resulted in a rapid gain in understanding of hereditary myeloid neoplasms and identification of their related pathogenic germline mutations [32]. Patients with myeloid neoplasms with germline predisposition represent approximately 5–15% of all adult MDS and AML cases. The World Health Organization designated a new category of myeloid neoplasms with germline predisposition in 2016 [33].
The DEAD-box RNA helicase-1 gene (DDX41) is one of the most frequently identified mutations in myeloid neoplasms with a genetic predisposition. The DDX41 gene is located at chromosome 5q35.3, and the gene can be affected by germline and somatic mutations [34]. Large cohort studies have shown that 1.5–3.8% of patients with myeloid neoplasms have DDX41 mutations [35,36,37]. First identified in 2015 as predisposing mutations for myeloid neoplasms by a study of an index family with a strong history of MDS/AML, a significant proportion of hereditary myeloid neoplasms were associated with the DDX41 mutations by affecting RNA biology and innate immunity [34]. Many studies have come out in recent years, which provide a better understanding of pathogenesis and clinical implications of DDX41 mutations. In particular, as a common mutation in the association of hereditary myeloid neoplasms, understanding DDX41 mutations can help establish the strategy for surveillance and management of germline mutation carriers, and screening and early identification for stem-cell transplant donors for the patients with MDS/AML with germline DDX41 mutations.
This article reviews our current understanding of DDX41 mutations in MDS/AML, focusing on pathogenic mechanisms, and pathologic and clinical data.

2. DDX41 Mutations and Their Role in MDS/AML Pathogenesis

The pathology of DDX41 mutations in myeloid neoplasms may be related to a disruption of the gene’s normal functions involving multiple functions in RNA biology [34]. DDX41 encodes a member of the DEAD-box ATP-dependent RNA helicases, which are involved in pre-mRNA splicing, RNA processing, ribosome biogenesis, and small nucleolar RNA processing [34,38,39]. In addition, DDX41 interacts with intracellular DNA in dendritic cells and macrophages, and activates innate immunity through the stimulator of interferon genes (STING)-interferon pathway [40,41]. More studies have come out in past years describing and identifying the pathomechanism of DDX41 mutations.
Changes in DDX41 expression have demonstrated variable effects in vitro and in vivo. For example, the knockdown of DDX41 in K562 cells was shown to increase their proliferation in vitro and accelerate their tumor growth in a xenograft model [34]. Conversely, the knockout of DDX41 in a mouse model impaired the differentiation and development of hematopoietic cells, particularly myeloid lineage cells, and decreased their proliferation capacity both in vivo and ex vivo [42].
A recent mouse model study demonstrated that monoallelic germline mutations of DDX41 cause age-dependent myelodysplastic changes, whereas biallelic mutations resulting from the acquisition of somatic mutations on the other allele cause hematopoietic defects at a young age, likely by dysregulating small nucleolar RNA processing and ribosomal function [39]. DDX41 mutations may also have an oncogenic effect by dysregulating the STING-interferon pathway, thereby impairing innate immunity [40,43].
Additionally, Mosler et al. proposed that an increased level of R-loop, RNA-DNA hybrids and displaced strand of DNA can be caused by dysregulation from loss of DDX41, as outlined in a recent study using quantitative mass spectrometry-based proteomics using human cells [44]. The study showed pathogenic variants of DDX41 mutations resulted in the accumulation of double-strand breaks in human hematopoietic stem cells causing inflammatory responses. These enhanced inflammatory responses from R-loop accumulation and the dysregulation of hematopoietic stem cell production were also shown in a study using zebra fish by Weinreb et al. [45]. These studies propose the role of DDX41 in genomic stability against R-loop generations.
DDX41 mutations are clinically associated with an increased lifetime risk of myeloid neoplasms, including the early presentation of idiopathic cytopenia of undetermined significance (ICUS) [46]. Diseases reported to be associated with DDX41 mutations include myeloproliferative neoplasms, chronic lymphocytic leukemia, chronic myeloid leukemia, multiple myeloma, and Hodgkin and non-Hodgkin lymphomas other than myeloid neoplasms [35,47,48,49]. DDX41 mutations are also associated with blood disorders, including macrocytosis [47]. Some studies found DDX41 mutations to be associated with an increased risk of autoimmune disorders or solid cancers, but these findings require further investigation [35,47]. The specific risk for hematologic malignancies including MDS/AML conveyed by DDX41 mutations remains unclear.

3. Pathologic Features of Myeloid Neoplasms with DDX41 Mutations

In common practice, next-generation sequencing panels at diagnosis of myeloid neoplasms or follow-up can detect DDX41 mutations [47]. Comprehensive genomic testing with exome or genome sequencing can be used to identify variants that gene-targeted sequencing might miss [47]. The results of germline pathogenic variant testing can be confirmed by specimen without blood contamination obtained from skin fibroblasts [47].
In a recently published study using a multi-national cohort, DDX41 germline mutations account for about 80% of patients with myeloid neoplasms with germline predisposition [37]. The study further showed that pathologic or likely pathologic germline mutations of DDX41 were identified 10 times more frequently in patients with myeloid neoplasms than the general population [37]. Germline DDX41 mutations are passed from parent to child through autosomal dominant inheritance, but the penetrance of DDX41 mutations remains unclear. Only about 30% of patients with germline DDX41 mutations have a family history of hematologic malignancy, but a familial series study showed high penetrant patterns in some families [35,49]. Interestingly, the DDX41-mutant MDS/AML has a male predominance, with a male-to-female ratio of 3:1 [35,50]. The etiology of male predominance remains unknown.
Up to 80% of carriers of germline DDX41 mutations who develop MDS/AML have additional somatic mutations on the other DDX41 allele, which has been reported by multiple studies [34,49,50]. The pattern of biallelic mutations from secondary somatic mutations in DDX41 mutations also can be seen in somatic mutations in the CCAAT enhancer binding protein alpha gene, CEBPA, in AML [34]. The role of additional somatic mutation and biallelic mutation as pathogenesis of DDX41 mutations were described by Chlon et al. as mentioned above.
Notably, germline and somatic DDX41 mutations tend to have different patterns and locations of mutations on the gene.
Most patients with germline mutations have pathogenic variants with either nonsense, frameshift, or splicing site mutations [49,51]. One of the most frequently identified germline mutations, p.D140fs, causes protein truncation [52]. Other germline mutations are associated with loss of function and derangements in splicing [49]. A study of 346 patients with germline DDX41 mutations reported that MDS patients with truncating variants of DDX41 germline mutations were observed to have shorter duration to AML transformation, about 2.5 times faster, compared to patients with non-truncating variants [37]. However, there was no difference in overall survival between the two groups [37]. The most frequent somatic mutation is the p.R525H missense mutation [36,51]. The mutation is located at the C-terminus of the helicase domain at the site of ATP interaction and hydrolyzation, which can cause deranged interactions with ATP in the helicase domain without directly changing the main domain [38]. One study showed that cord blood cells and leukemia cells harboring the p.R525H mutation had deranged pre-mRNA processing and ribosomal biogenesis from mutation-related change, resulting in impaired E2 factor activity and, thus, defective cell cycle progression [38].
In a next-generation sequencing study of patients with DDX41-mutant disease, most germline mutations (93%) were upstream of the helicase 2 domain or involved loss of the start codon (30%). In contrast, most somatic mutations (78%) were within the helicase 2 domain [36].
Ethnicity-based differences in the frequencies of DDX41 mutations have been noted. Several studies from cohorts of Asian patients showed a distinct mutations profile. In a study of 28 Korean patients, the most common germline mutation was p.V152G, which was detected in 10 patients, followed by p.Y259C, p.A500fs, and p.E7* [46]. Similarly, in a Japanese population, p.A500fs and p.E7* were the most frequent germline mutations, and p.R525H was the most common somatic mutation [53]. In a study of Chinese patients, the most common mutations were c.935 + 4A>T and p.T360Ifs*33, which were detected in three patients each [54]. This ethnic difference in mutations was shown in a recent study by Li et al. with large data including 176 patients with germline mutations [50]. In the study, p.A500fs was only identified in Asian patients, and 92% of patients with Y295C (n = 12) were Asian patients. The majority, over 90%, of patients with p.M1I or p.D140fs were Caucasians. Interestingly, the study also showed a more frequent loss of function in germline mutations (85% vs. 51%) in Caucasians than in Asians.
Prior reports of mutation-related protein changes are summarized in Table 1. The study by Makishima et al., was published upon acceptance of our manuscript, and was not included in the table [37].
Bone marrow examination often shows hypocellularity and erythroid dysplasia [46,52]. 70–80% of patients with germline DDX41 mutations have a normal karyotype [34,35,36]. In addition, 3–30% of patients have concomitant TP53 mutations [35,36,56]. A systematic review study of pooled studies of DDX41 mutations showed 47% of patients have concomitant other somatic mutations, most frequently ASXL1(26%), TP53 (23%), followed by TET2, EZH2, SRSF2, and DNMT3A [48]. Interestingly, the recent study by Makishima et al. including 346 patients with pathogenic or likely pathogenic germline DDX41 mutations showed that co-mutations, including TP53, did not affect outcomes [37].

4. Clinical Presentation and Outcomes

The age at diagnosis of MDS/AML patients with germline DDX41 mutations has been reported within a wide range from 57 to 70 years, but most studies reported that it is comparable to patients with general MDS/AML [34,35,36,50,58].
Some studies showed that MDS/AML patients with germline DDX41 mutations often have a higher-grade disease than those with wildtype DDX41 [34,36,51]. However, the survival effect of germline DDX41 mutations was reported to vary.
Several studies have assessed outcomes in MDS/AML patients with DDX41 mutations. Polprasert et al. showed that MDS/AML patients with DDX41 mutations had worse survival than patients with wildtype DDX41 in a large cohort of MDS and secondary AML patients of 1034 patients (hazard ratio, 3.5; p < 0.0001) [34]. In a smaller study that included 28 patients with ICUS, MDS, or AML having DDX41 germline mutations, Choi et al. found no difference in survival by DDX41 mutation status [46].
Sebert et al. showed that the median survival duration of patients with germline DDX41 mutations (5.2 years) was longer than that of patients with wildtype DDX41 (2.7 years) in a propensity score-matched study with 18 matched patients with DDX41 mutations, but this difference was not statistically significant. They also found that patients with germline mutations had a good overall response to intensive chemotherapy (response rate at 100%, n = 9) and hypomethylating agent (response rate at 73%, n = 11), and a median response duration of 2.5 years [35].
Li et al. showed that 81 patients with DDX41 germline causal variants had superior overall survival compared to age-matched or general MDS or AML cases with wild-type DDX41 or a variant of unknown significance (median OS: not reached) [50].
A recent study by Duployez et al. showed prolonged survival in DDX41 germline mutant AML patients, with a good response to intensive chemotherapy in intermediate or high-risk patients with AML, in a large cohort study using five prospective clinical trials of 191 newly diagnosed DDX41 mutant AML patients [57]. The median overall survival of AML patients with DDX41 germline mutations of all variants was 28.1 months (Interquartile range, IQR, at 10.7–82.7 months) when censored at stem-cell transplant, and median relapse-free survival at 18.7 months (IQR 8.3–80.9 months).
These conflicting results are likely due to different study populations, heterogeneity of MDS/AML clinical course and treatments, and a limited number of study patients from a low prevalence of mutations. While Sebert et al. studied patients with germline DDX41 mutations and analyzed the survival of only those patients who were treated for high-risk MDS and AML, Polprasert et al. included all patients with either germline or somatic mutations in the survival analyses. Choi et al. included patients with either germline or somatic mutations, but analyzed survival by diagnosis. Li et al. studied patients with germline pathogenic variants. Duployez et al. studied AML patients only.
As the prevalence of DDX41-associated MDS/AML is relatively low, further accumulation of clinical data may help clarify the prognostic role of DDX41 mutations.

5. Treatment—General Approaches

So far, there are no randomized studies focusing on patients with DDX41 mutations for specific therapeutic approaches. The treatment approaches of DDX41-mutant myeloid neoplasms generally follow standard care for general MDS/AML treatments. Two recent studies reported treatment responses in DDX41 mutant patients. Li et al. reported a higher response rate at 78%, and superior survival (not reached) in a matched case-control study including 28 patients with AML having DDX41 germline mutations. In the study, most (about 80%) patients were treated with hypomethylating agents with or without venetoclax [59]. Duployez et al., as mentioned above, also reported a better response to intensive chemotherapy in patients with intermediate or adverse DDX41 germline-mutant patients in AML.
Interestingly, a few studies showed a good response to lenalidomide in MDS patients with DDX41 mutations [34]. Lenalidomide is a well-established standard therapy for the low-risk MDS with a 5q deletion [60]. Lenalidomide has demonstrated its efficacy in MDS/AML patients with DDX41 mutations, even in the absence of a full 5q deletion [34]. Only 26% of patients with MDS with 5q deletion have the deletion at 5q35, where DDX41 is located at [34].
In a study of 111 patients treated with lenalidomide, Polprasert et al. reported that the response rate among patients with DDX41 mutations (100% (8/8 patients)) was significantly higher than that among patients with wildtype DDX41 (53% (55/103 patients); p = 0.01). In another prediction model study using 137 patients with MDS or other myeloid neoplasms, the mutation of any DEAD-box RNA helicase gene, including DDX41, was associated with higher response to lenalidomide (odds ratio 3.4, p = 0.04). Among seven patients with heterozygous DDX41 mutations or deletions, the lenalidomide response rate was 57%. For the three patients who had DDX41 mutations only, the response rate was 100% [61].
In addition, there is a case report about single-agent lenalidomide with the successful treatment of one patient with high-risk MDS (i.e., MDS with excess blasts type 2) [62]. The patient, who had a germline mutation (p.D140fs) and a low burden of DDX41 p.R525H mutation, had a good response and had improved blood counts and rare dysplasia after 4 months of lenalidomide monotherapy. The blast percentage had decreased from 16% before treatment to 3% [62].

6. Treatment—Special Considerations: SCT

SCT is an essential part of treatment in hereditary myeloid neoplasms, especially in fit, younger patients. Donor cell leukemia is a particular concern in DDX41 germline mutant myeloid neoplasms with its severity and fatality.
Berger et al. were the first to report a case of a DDX41 mutation giving rise to donor cell leukemia. They described a patient who received an allogeneic SCT from an HLA-matched related donor carrying a germline DDX41 mutation (c.3G>A; p.(MET1?)) and other somatic mutations [63]. The patient’s family had a strong history of leukemia; the patient’s father died of leukemia, and one of the patient’s two brothers (not the donor) developed AML. The donor remained free of disease, but the patient developed high-risk MDS that might have been associated with stress from post-transplant changes [63].
Kobayashi et al. similarly reported a case of donor cell leukemia in a patient who received stem cells from a donor with a germline DDX41 mutation (p.F498fs). There was also a significant increase in the variant allele frequency (7.9% vs 0.4%) of a somatic DDX41 mutation (p.R525H) in a carrier after transplant [64]. Larger studies have since investigated the effects of donor clonal hematopoiesis in SCT. In a recent study of 1727 patients who received stem cells from donors with clonal hematopoiesis, only eight cases of donor cell leukemia were identified; in two of these cases, germline DDX41 mutations were present [65].
Therefore, the early identification of the related donors’ germline DDX41 mutation carrier status is one strategy to avoid SCT delay in MDS/AML patients with germline DDX41 mutations. In a report on the experience of a single tertiary cancer center, Bannon et al. reported that such identification of optimal related donors was effective [51].

7. Family Screening and Surveillance

There are no specific guidelines for family screening, or the surveillance of germline carriers identified from family screening. Family screening might be considered only for patients with germline mutations because somatic DDX41 mutations are not heritable, and DDX41 mutations are rare among the general population [52]. However, the risk of malignancy and penetrance of disease in germline carriers remains unclear, and methods for detecting or preventing myeloid neoplasms and other cancers in these individuals have not been established [66].
As a first step, surveillance methods and the timing for the family members identified as germline DDX41 need to be established. Lewinsohn et al. reported that germline DDX41 mutation carriers had cytopenia and other complete blood count (CBC) abnormalities at the time of MDS/AML diagnosis, but mostly lacked these abnormalities before diagnosis [49]. Further studies showed earlier CBC changes in carriers; Polprasert et al. reported macrocytosis and monocytosis in carriers, and Bannon et al. and Sebert et al. reported that 50–60% of carriers who were later diagnosed with hematologic malignancies had antecedent cytopenia [34,35,51]. In a study by Choi et al., five of 28 patients with germline DDX41 mutations had ICUS [46]. Therefore, CBCs can be helpful in the screening or surveillance of carriers identified from family screening, but specific recommendations are not yet available. Makishima et al., reported an increasing risk of developing myeloid neoplasms by age in germline carriers [37]. The risk for myeloid neoplasms in patients with three major pathogenic variants under the age of 40 were negligible, but it increases rapidly after the age of 40 [37]. Age 40 could be a cut-off for a surveillance in germline carriers based on study results, although further accumulation of data would be helpful.
Several papers have described the experiences of patients with germline DDX41 mutations in genetics clinics. One review, which detailed multiple cases from MD Anderson’s genetics clinic, described the experience of a patient who had a biallelic DDX41 mutation with a hotspot germline DDX41 mutation and the screening of the patient’s adult children [66]. Bannon et al. described how DDX41 mutation carriers were offered education and follow-up; all unaffected family members, including potential stem cell transplant (SCT) donors, were offered genetic testing and counseling [51]. This enabled the prompt transition to stem-cell donor identification within 15 days after family screening [51].
Other considerations for the screening and surveillance of patients and their families should include the early detection of secondary hematologic malignancies, both myeloid and lymphoid malignancies, including follicular lymphoma and Hodgkin’s lymphoma. It should also include autoimmune diseases in MDS/AML patients who have had disease remission, and the early detection of primary hematologic malignancies or autoimmune diseases in germline mutation carriers.

8. Conclusions

We are rapidly gaining knowledge about hereditary MDS/AML through recent clinical and translational research endeavors, particularly of DDX41-associated hereditary myeloid neoplasms. MDS/AML with DDX41 mutations has become a study of interest with its unique features of pathophysiology, genetic and clinical characteristics. There is the potential therapeutic implication of an expected good treatment response to standard therapies, and the need for early donor identifications for SCT.
Despite the rapid advancements in this field, there still is a gap in knowledge that future studies need to address for patients with DDX41-associated myeloid neoplasms. Further understanding of the clinical impact of the DDX41 mutations, including learning further prognostic or clinical information of DDX41 mutant AML/MDS patients, and studying whether DDX41 mutations can be targetable for therapeutic or preventive applications would be essential. Additionally, establishing standardized approaches for cancer and other medical surveillance/screening in family members (i.e., germline-carriers) is essential.

Author Contributions

Conceptualization, K.K. and K.S.; Data Curation, K.K., F.O. and K.S.; Writing—Original Draft Preparation, K.K.; Writing—Review & Editing, F.O. and K.S.; Supervision, K.S.; Project Administration, K.S. All authors have read and agreed to the published version of the manuscript.

Funding

This review was supported by the MD Anderson Cancer Center Support Grant CA016672 from the National Cancer Institute.

Acknowledgments

We thank Joseph Munch (senior scientific editor, Research Medical Library at the University of Texas MD Anderson Cancer Center) for editing this review.

Conflicts of Interest

K.K.: none. F.O.: none. K.S.: Daiichi Sankyo: Consultancy; Novartis: Consultancy, Research Funding; Pfizer Japan: Consultancy; Otsuka: Honoraria.

References

  1. Montalban-Bravo, G.; Kanagal-Shamanna, R.; Class, C.A.; Sasaki, K.; Ravandi, F.; Cortes, J.E.; Daver, N.; Takahashi, K.; Short, N.J.; DiNardo, C.D.; et al. Outcomes of acute myeloid leukemia with myelodysplasia related changes depend on diagnostic criteria and therapy. Am. J. Hematol. 2020, 95, 612–622. [Google Scholar] [CrossRef] [PubMed]
  2. Sasaki, K.; Kanagal-Shamanna, R.; Montalban-Bravo, G.; Assi, R.; Jabbour, E.; Ravandi, F.; Kadia, T.; Pierce, S.; Takahashi, K.; Nogueras Gonzalez, G.; et al. Impact of the variant allele frequency of ASXL1, DNMT3A, JAK2, TET2, TP53, and NPM1 on the outcomes of patients with newly diagnosed acute myeloid leukemia. Cancer 2020, 126, 765–774. [Google Scholar] [CrossRef] [PubMed]
  3. Morita, K.; Kantarjian, H.M.; Wang, F.; Yan, Y.; Bueso-Ramos, C.; Sasaki, K.; Issa, G.C.; Wang, S.; Jorgensen, J.; Song, X.; et al. Clearance of Somatic Mutations at Remission and the Risk of Relapse in Acute Myeloid Leukemia. J. Clin. Oncol. 2018, 36, 1788–1797. [Google Scholar] [CrossRef] [PubMed]
  4. Chien, K.S.; Class, C.A.; Montalban-Bravo, G.; Wei, Y.; Sasaki, K.; Naqvi, K.; Ganan-Gomez, I.; Yang, H.; Soltysiak, K.A.; Kanagal-Shamanna, R.; et al. LILRB4 expression in chronic myelomonocytic leukemia and myelodysplastic syndrome based on response to hypomethylating agents. Leuk. Lymphoma 2020, 61, 1493–1499. [Google Scholar] [CrossRef] [PubMed]
  5. Quesada, A.E.; Montalban-Bravo, G.; Luthra, R.; Patel, K.P.; Sasaki, K.; Bueso-Ramos, C.E.; Khoury, J.D.; Routbort, M.J.; Bassett, R.; Hidalgo-Lopez, J.E.; et al. Clinico-pathologic characteristics and outcomes of the World Health Organization (WHO) provisional entity de novo acute myeloid leukemia with mutated RUNX1. Mod. Pathol. 2020, 33, 1678–1689. [Google Scholar] [CrossRef]
  6. Lachowiez, C.A.; Loghavi, S.; Furudate, K.; Montalban-Bravo, G.; Maiti, A.; Kadia, T.; Daver, N.; Borthakur, G.; Pemmaraju, N.; Sasaki, K.; et al. Impact of splicing mutations in acute myeloid leukemia treated with hypomethylating agents combined with venetoclax. Blood Adv. 2021, 5, 2173–2183. [Google Scholar] [CrossRef]
  7. Venugopal, S.; Shoukier, M.; Konopleva, M.; Dinardo, C.D.; Ravandi, F.; Short, N.J.; Andreeff, M.; Borthakur, G.; Daver, N.; Pemmaraju, N.; et al. Outcomes in patients with newly diagnosed TP53-mutated acute myeloid leukemia with or without venetoclax-based therapy. Cancer 2021, 127, 3541–3551. [Google Scholar] [CrossRef]
  8. Kim, K.; Maiti, A.; Loghavi, S.; Pourebrahim, R.; Kadia, T.M.; Rausch, C.R.; Furudate, K.; Daver, N.G.; Alvarado, Y.; Ohanian, M.; et al. Outcomes of TP53-mutant acute myeloid leukemia with decitabine and venetoclax. Cancer 2021, 127, 3772–3781. [Google Scholar] [CrossRef]
  9. Issa, G.C.; Zarka, J.; Sasaki, K.; Qiao, W.; Pak, D.; Ning, J.; Short, N.J.; Haddad, F.; Tang, Z.; Patel, K.P.; et al. Predictors of outcomes in adults with acute myeloid leukemia and KMT2A rearrangements. Blood Cancer J. 2021, 11, 162. [Google Scholar] [CrossRef]
  10. Sasaki, K.; Kadia, T.; Begna, K.; DiNardo, C.D.; Borthakur, G.; Short, N.J.; Jain, N.; Daver, N.; Jabbour, E.; Garcia-Manero, G.; et al. Prediction of early (4-week) mortality in acute myeloid leukemia with intensive chemotherapy. Am. J. Hematol. 2022, 97, 68–78. [Google Scholar] [CrossRef]
  11. Fiskus, W.; Boettcher, S.; Daver, N.; Mill, C.P.; Sasaki, K.; Birdwell, C.E.; Davis, J.A.; Takahashi, K.; Kadia, T.M.; DiNardo, C.D.; et al. Effective Menin inhibitor-based combinations against AML with MLL rearrangement or NPM1 mutation (NPM1c). Blood Cancer. J. 2022, 12, 5. [Google Scholar] [CrossRef] [PubMed]
  12. Sasaki, K.; Ravandi, F.; Kadia, T.; DiNardo, C.; Borthakur, G.; Short, N.; Jain, N.; Daver, N.; Jabbour, E.; Garcia-Manero, G.; et al. Prediction of survival with intensive chemotherapy in acute myeloid leukemia. Am. J. Hematol. 2022, 97, 865–876. [Google Scholar] [CrossRef]
  13. Jabbour, E.; Faderl, S.; Sasaki, K.; Kadia, T.; Daver, N.; Pemmaraju, N.; Patel, K.; Khoury, J.D.; Bueso-Ramos, C.; Bohannan, Z.; et al. Phase 2 study of low-dose clofarabine plus cytarabine for patients with higher-risk myelodysplastic syndrome who have relapsed or are refractory to hypomethylating agents. Cancer 2017, 123, 629–637. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Jabbour, E.; Short, N.J.; Montalban-Bravo, G.; Huang, X.; Bueso-Ramos, C.; Qiao, W.; Yang, H.; Zhao, C.; Kadia, T.; Borthakur, G.; et al. Randomized phase 2 study of low-dose decitabine vs low-dose azacitidine in lower-risk MDS and MDS/MPN. Blood 2017, 130, 1514–1522. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Short, N.J.; Jabbour, E.; Naqvi, K.; Patel, A.; Ning, J.; Sasaki, K.; Nogueras-Gonzalez, G.M.; Bose, P.; Kornblau, S.M.; Takahashi, K.; et al. A phase II study of omacetaxine mepesuccinate for patients with higher-risk myelodysplastic syndrome and chronic myelomonocytic leukemia after failure of hypomethylating agents. Am. J. Hematol. 2019, 94, 74–79. [Google Scholar] [CrossRef] [Green Version]
  16. Montalban-Bravo, G.; Kanagal-Shamanna, R.; Sasaki, K.; Patel, K.; Ganan-Gomez, I.; Jabbour, E.; Kadia, T.; Ravandi, F.; DiNardo, C.; Borthakur, G.; et al. NPM1 mutations define a specific subgroup of MDS and MDS/MPN patients with favorable outcomes with intensive chemotherapy. Blood Adv. 2019, 3, 922–933. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Montalban-Bravo, G.; Class, C.A.; Ganan-Gomez, I.; Kanagal-Shamanna, R.; Sasaki, K.; Richard-Carpentier, G.; Naqvi, K.; Wei, Y.; Yang, H.; Soltysiak, K.A.; et al. Transcriptomic analysis implicates necroptosis in disease progression and prognosis in myelodysplastic syndromes. Leukemia 2020, 34, 872–881. [Google Scholar] [CrossRef] [PubMed]
  18. Montalban-Bravo, G.; Kanagal-Shamanna, R.; Benton, C.B.; Class, C.A.; Chien, K.S.; Sasaki, K.; Naqvi, K.; Alvarado, Y.; Kadia, T.M.; Ravandi, F.; et al. Genomic context and TP53 allele frequency define clinical outcomes in TP53-mutated myelodysplastic syndromes. Blood Adv. 2020, 4, 482–495. [Google Scholar] [CrossRef] [Green Version]
  19. Sasaki, K.; Ravandi, F.; Kadia, T.M.; DiNardo, C.D.; Short, N.J.; Borthakur, G.; Jabbour, E.; Kantarjian, H.M. De novo acute myeloid leukemia: A population-based study of outcome in the United States based on the Surveillance, Epidemiology, and End Results (SEER) database, 1980 to 2017. Cancer 2021, 127, 2049–2061. [Google Scholar] [CrossRef]
  20. DiNardo, C.D.; Lachowiez, C.A.; Takahashi, K.; Loghavi, S.; Kadia, T.; Daver, N.; Xiao, L.; Adeoti, M.; Short, N.J.; Sasaki, K.; et al. Venetoclax combined with FLAG-IDA induction and consolidation in newly diagnosed acute myeloid leukemia. Am. J. Hematol. 2022, 97, 1035–1043. [Google Scholar] [CrossRef]
  21. Perl, A.E.; Martinelli, G.; Cortes, J.E.; Neubauer, A.; Berman, E.; Paolini, S.; Montesinos, P.; Baer, M.R.; Larson, R.A.; Ustun, C.; et al. Gilteritinib or Chemotherapy for Relapsed or Refractory FLT3-Mutated AML. N. Engl. J. Med. 2019, 381, 1728–1740. [Google Scholar] [CrossRef] [PubMed]
  22. DiNardo, C.D.; Stein, E.M.; de Botton, S.; Roboz, G.J.; Altman, J.K.; Mims, A.S.; Swords, R.; Collins, R.H.; Mannis, G.N.; Pollyea, D.A.; et al. Durable Remissions with Ivosidenib in IDH1-Mutated Relapsed or Refractory AML. N. Engl. J. Med. 2018, 378, 2386–2398. [Google Scholar] [CrossRef] [PubMed]
  23. Kadia, T.M.; Reville, P.K.; Wang, X.; Rausch, C.R.; Borthakur, G.; Pemmaraju, N.; Daver, N.G.; DiNardo, C.D.; Sasaki, K.; Issa, G.C.; et al. Phase II Study of Venetoclax Added to Cladribine Plus Low-Dose Cytarabine Alternating With 5-Azacitidine in Older Patients With Newly Diagnosed Acute Myeloid Leukemia. J. Clin. Oncol. 2022, 40, 3848–3857. [Google Scholar] [CrossRef] [PubMed]
  24. Yalniz, F.; Abou Dalle, I.; Kantarjian, H.; Borthakur, G.; Kadia, T.; Patel, K.; Loghavi, S.; Garcia-Manero, G.; Sasaki, K.; Daver, N.; et al. Prognostic significance of baseline FLT3-ITD mutant allele level in acute myeloid leukemia treated with intensive chemotherapy with/without sorafenib. Am. J. Hematol. 2019, 94, 984–991. [Google Scholar] [CrossRef]
  25. Sasaki, K.; Kantarjian, H.M.; Kadia, T.; Patel, K.; Loghavi, S.; Garcia-Manero, G.; Jabbour, E.J.; DiNardo, C.; Pemmaraju, N.; Daver, N.; et al. Sorafenib plus intensive chemotherapy improves survival in patients with newly diagnosed, FLT3-internal tandem duplication mutation-positive acute myeloid leukemia. Cancer 2019, 125, 3755–3766. [Google Scholar] [CrossRef]
  26. Maiti, A.; Franquiz, M.J.; Ravandi, F.; Cortes, J.E.; Jabbour, E.J.; Sasaki, K.; Marx, K.; Daver, N.G.; Kadia, T.M.; Konopleva, M.Y.; et al. Venetoclax and BCR-ABL Tyrosine Kinase Inhibitor Combinations: Outcome in Patients with Philadelphia Chromosome-Positive Advanced Myeloid Leukemias. Acta Haematol. 2020, 143, 567–573. [Google Scholar] [CrossRef]
  27. Abou Dalle, I.; Ghorab, A.; Patel, K.; Wang, X.; Hwang, H.; Cortes, J.; Issa, G.C.; Yalniz, F.; Sasaki, K.; Chihara, D.; et al. Impact of numerical variation, allele burden, mutation length and co-occurring mutations on the efficacy of tyrosine kinase inhibitors in newly diagnosed FLT3- mutant acute myeloid leukemia. Blood Cancer J. 2020, 10, 48. [Google Scholar] [CrossRef]
  28. DiNardo, C.D.; Maiti, A.; Rausch, C.R.; Pemmaraju, N.; Naqvi, K.; Daver, N.G.; Kadia, T.M.; Borthakur, G.; Ohanian, M.; Alvarado, Y.; et al. 10-day decitabine with venetoclax for newly diagnosed intensive chemotherapy ineligible, and relapsed or refractory acute myeloid leukaemia: A single-centre, phase 2 trial. Lancet Haematol. 2020, 7, e724–e736. [Google Scholar] [CrossRef]
  29. Shoukier, M.; Kadia, T.; Konopleva, M.; Alotaibi, A.S.; Alfayez, M.; Loghavi, S.; Patel, K.P.; Kanagal-Shamanna, R.; Cortes, J.; Samra, B.; et al. Clinical characteristics and outcomes in patients with acute myeloid leukemia with concurrent FLT3-ITD and IDH mutations. Cancer 2021, 127, 381–390. [Google Scholar] [CrossRef]
  30. Maiti, A.; Qiao, W.; Sasaki, K.; Ravandi, F.; Kadia, T.M.; Jabbour, E.J.; Daver, N.G.; Borthakur, G.; Garcia-Manero, G.; Pierce, S.A.; et al. Venetoclax with decitabine vs. intensive chemotherapy in acute myeloid leukemia: A propensity score matched analysis stratified by risk of treatment-related mortality. Am. J. Hematol. 2021, 96, 282–291. [Google Scholar] [CrossRef]
  31. Yilmaz, M.; Kantarjian, H.; Short, N.J.; Reville, P.; Konopleva, M.; Kadia, T.; DiNardo, C.; Borthakur, G.; Pemmaraju, N.; Maiti, A.; et al. Hypomethylating agent and venetoclax with FLT3 inhibitor “triplet” therapy in older/unfit patients with FLT3 mutated AML. Blood Cancer J. 2022, 12, 77. [Google Scholar] [CrossRef] [PubMed]
  32. Huang, K.L.; Mashl, R.J.; Wu, Y.; Ritter, D.I.; Wang, J.; Oh, C.; Paczkowska, M.; Reynolds, S.; Wyczalkowski, M.A.; Oak, N.; et al. Pathogenic Germline Variants in 10,389 Adult Cancers. Cell 2018, 173, 355–370.e314. [Google Scholar] [CrossRef] [Green Version]
  33. Arber, D.A.; Orazi, A.; Hasserjian, R.; Thiele, J.; Borowitz, M.J.; Le Beau, M.M.; Bloomfield, C.D.; Cazzola, M.; Vardiman, J.W. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 2016, 127, 2391–2405. [Google Scholar] [CrossRef] [PubMed]
  34. Polprasert, C.; Schulze, I.; Sekeres, M.A.; Makishima, H.; Przychodzen, B.; Hosono, N.; Singh, J.; Padgett, R.A.; Gu, X.; Phillips, J.G.; et al. Inherited and Somatic Defects in DDX41 in Myeloid Neoplasms. Cancer Cell 2015, 27, 658–670. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Sebert, M.; Passet, M.; Raimbault, A.; Rahme, R.; Raffoux, E.; Sicre de Fontbrune, F.; Cerrano, M.; Quentin, S.; Vasquez, N.; Da Costa, M.; et al. Germline DDX41 mutations define a significant entity within adult MDS/AML patients. Blood 2019, 134, 1441–1444. [Google Scholar] [CrossRef] [PubMed]
  36. Quesada, A.E.; Routbort, M.J.; DiNardo, C.D.; Bueso-Ramos, C.E.; Kanagal-Shamanna, R.; Khoury, J.D.; Thakral, B.; Zuo, Z.; Yin, C.C.; Loghavi, S.; et al. DDX41 mutations in myeloid neoplasms are associated with male gender, TP53 mutations and high-risk disease. Am. J. Hematol. 2019, 94, 757–766. [Google Scholar] [CrossRef]
  37. Makishima, H.; Saiki, R.; Nannya, Y.; Korotev, S.C.; Gurnari, C.; Takeda, J.; Momozawa, Y.; Best, S.; Krishnamurthy, P.; Yoshizato, T.; et al. Germline DDX41 mutations define a unique subtype of myeloid neoplasms. Blood 2022. [Google Scholar] [CrossRef]
  38. Kadono, M.; Kanai, A.; Nagamachi, A.; Shinriki, S.; Kawata, J.; Iwato, K.; Kyo, T.; Oshima, K.; Yokoyama, A.; Kawamura, T.; et al. Biological implications of somatic DDX41 p.R525H mutation in acute myeloid leukemia. Exp. Hematol. 2016, 44, 745–754.e744. [Google Scholar] [CrossRef] [Green Version]
  39. Chlon, T.M.; Stepanchick, E.; Hershberger, C.E.; Daniels, N.J.; Hueneman, K.M.; Kuenzi Davis, A.; Choi, K.; Zheng, Y.; Gurnari, C.; Haferlach, T.; et al. Germline DDX41 mutations cause ineffective hematopoiesis and myelodysplasia. Cell Stem Cell 2021, 28, 1966–1981.e1966. [Google Scholar] [CrossRef]
  40. Lee, K.G.; Kim, S.S.; Kui, L.; Voon, D.C.; Mauduit, M.; Bist, P.; Bi, X.; Pereira, N.A.; Liu, C.; Sukumaran, B.; et al. Bruton’s tyrosine kinase phosphorylates DDX41 and activates its binding of dsDNA and STING to initiate type 1 interferon response. Cell Rep. 2015, 10, 1055–1065. [Google Scholar] [CrossRef]
  41. Zhang, Z.; Yuan, B.; Bao, M.; Lu, N.; Kim, T.; Liu, Y.J. The helicase DDX41 senses intracellular DNA mediated by the adaptor STING in dendritic cells. Nat. Immunol. 2011, 12, 959–965. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Ma, J.; Mahmud, N.; Bosland, M.C.; Ross, S.R. DDX41 is needed for pre- and postnatal hematopoietic stem cell differentiation in mice. Stem Cell Rep. 2022, 17, 879–893. [Google Scholar] [CrossRef] [PubMed]
  43. Jiang, Y.; Zhu, Y.; Liu, Z.J.; Ouyang, S. The emerging roles of the DDX41 protein in immunity and diseases. Protein Cell 2017, 8, 83–89. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Mosler, T.; Conte, F.; Longo, G.M.C.; Mikicic, I.; Kreim, N.; Mockel, M.M.; Petrosino, G.; Flach, J.; Barau, J.; Luke, B.; et al. R-loop proximity proteomics identifies a role of DDX41 in transcription-associated genomic instability. Nat. Commun. 2021, 12, 7314. [Google Scholar] [CrossRef] [PubMed]
  45. Weinreb, J.T.; Ghazale, N.; Pradhan, K.; Gupta, V.; Potts, K.S.; Tricomi, B.; Daniels, N.J.; Padgett, R.A.; De Oliveira, S.; Verma, A.; et al. Excessive R-loops trigger an inflammatory cascade leading to increased HSPC production. Dev. Cell 2021, 56, 627–640.e625. [Google Scholar] [CrossRef] [PubMed]
  46. Choi, E.J.; Cho, Y.U.; Hur, E.H.; Jang, S.; Kim, N.; Park, H.S.; Lee, J.H.; Lee, K.H.; Kim, S.H.; Hwang, S.H.; et al. Unique ethnic features of DDX41 mutations in patients with idiopathic cytopenia of undetermined significance, myelodysplastic syndrome, or acute myeloid leukemia. Haematologica 2022, 107, 510–518. [Google Scholar] [CrossRef] [PubMed]
  47. Churpek, J.E.; Smith-Simmer, K. DDX41-Associated Familial Myelodysplastic Syndrome and Acute Myeloid Leukemia. Available online: https://www.ncbi.nlm.nih.gov/books/NBK574843/ (accessed on 15 August 2022).
  48. Wan, Z.; Han, B. Clinical features of DDX41 mutation-related diseases: A systematic review with individual patient data. Ther. Adv. Hematol. 2021, 12, 20406207211032433. [Google Scholar] [CrossRef]
  49. Lewinsohn, M.; Brown, A.L.; Weinel, L.M.; Phung, C.; Rafidi, G.; Lee, M.K.; Schreiber, A.W.; Feng, J.; Babic, M.; Chong, C.E.; et al. Novel germ line DDX41 mutations define families with a lower age of MDS/AML onset and lymphoid malignancies. Blood 2016, 127, 1017–1023. [Google Scholar] [CrossRef] [Green Version]
  50. Li, P.; Brown, S.; Williams, M.; White, T.; Xie, W.; Cui, W.; Peker, D.; Lei, L.; Kunder, C.A.; Wang, H.Y.; et al. The genetic landscape of germline DDX41 variants predisposing to myeloid neoplasms. Blood 2022, 140, 716–755. [Google Scholar] [CrossRef]
  51. Bannon, S.A.; Routbort, M.J.; Montalban-Bravo, G.; Mehta, R.S.; Jelloul, F.Z.; Takahashi, K.; Daver, N.; Oran, B.; Pemmaraju, N.; Borthakur, G.; et al. Next-Generation Sequencing of DDX41 in Myeloid Neoplasms Leads to Increased Detection of Germline Alterations. Front. Oncol. 2020, 10, 582213. [Google Scholar] [CrossRef]
  52. Cheah, J.J.C.; Hahn, C.N.; Hiwase, D.K.; Scott, H.S.; Brown, A.L. Myeloid neoplasms with germline DDX41 mutation. Int. J. Hematol. 2017, 106, 163–174. [Google Scholar] [CrossRef] [PubMed]
  53. Makishima, H.; Nannya, Y.; Takeda, J.; Momozawa, Y.; Saiki, R.; Yoshizato, T.; Atsuta, Y.; Iijima-Yamashita, Y.; Yoshida, K.; Shiraishi, Y.; et al. Clinical Impacts of Germline DDX41 Mutations on Myeloid Neoplasms. Blood 2020, 136, 38–40. [Google Scholar] [CrossRef]
  54. Qu, S.; Li, B.; Qin, T.; Xu, Z.; Pan, L.; Hu, N.; Huang, G.; Peter Gale, R.; Xiao, Z. Molecular and clinical features of myeloid neoplasms with somatic DDX41 mutations. Br. J. Haematol. 2021, 192, 1006–1010. [Google Scholar] [CrossRef] [PubMed]
  55. Cardoso, S.R.; Ryan, G.; Walne, A.J.; Ellison, A.; Lowe, R.; Tummala, H.; Rio-Machin, A.; Collopy, L.; Al Seraihi, A.; Wallis, Y.; et al. Germline heterozygous DDX41 variants in a subset of familial myelodysplasia and acute myeloid leukemia. Leukemia 2016, 30, 2083–2086. [Google Scholar] [CrossRef] [PubMed]
  56. Alkhateeb, H.B.; Nanaa, A.; Viswanatha, D.; Foran, J.M.; Badar, T.; Sproat, L.; He, R.; Nguyen, P.; Jevremovic, D.; Salama, M.E.; et al. Genetic features and clinical outcomes of patients with isolated and comutated DDX41-mutated myeloid neoplasms. Blood Adv. 2022, 6, 528–532. [Google Scholar] [CrossRef]
  57. Duployez, N.; Largeaud, L.; Duchmann, M.; Kim, R.; Rieunier, J.; Lambert, J.; Bidet, A.; Larcher, L.; Lemoine, J.; Delhommeau, F.; et al. Prognostic impact of DDX41 germline mutations in intensively treated acute myeloid leukemia patients: An ALFA-FILO study. Blood 2022, 140, 756–768. [Google Scholar] [CrossRef]
  58. Kennedy, A.L.; Shimamura, A. Genetic predisposition to MDS: Clinical features and clonal evolution. Blood 2019, 133, 1071–1085. [Google Scholar] [CrossRef] [Green Version]
  59. Li, P.; White, T.; Xie, W.; Cui, W.; Peker, D.; Zeng, G.; Wang, H.Y.; Vagher, J.; Brown, S.; Williams, M.; et al. AML with germline DDX41 variants is a clinicopathologically distinct entity with an indolent clinical course and favorable outcome. Leukemia 2022, 36, 664–674. [Google Scholar] [CrossRef]
  60. List, A.; Dewald, G.; Bennett, J.; Giagounidis, A.; Raza, A.; Feldman, E.; Powell, B.; Greenberg, P.; Thomas, D.; Stone, R.; et al. Lenalidomide in the myelodysplastic syndrome with chromosome 5q deletion. N. Engl. J. Med. 2006, 355, 1456–1465. [Google Scholar] [CrossRef] [Green Version]
  61. Negoro, E.; Radivoyevitch, T.; Polprasert, C.; Adema, V.; Hosono, N.; Makishima, H.; Przychodzen, B.; Hirsch, C.; Clemente, M.J.; Nazha, A.; et al. Molecular predictors of response in patients with myeloid neoplasms treated with lenalidomide. Leukemia 2016, 30, 2405–2409. [Google Scholar] [CrossRef]
  62. Abou Dalle, I.; Kantarjian, H.; Bannon, S.A.; Kanagal-Shamanna, R.; Routbort, M.; Patel, K.P.; Hu, S.; Bhalla, K.; Garcia-Manero, G.; DiNardo, C.D. Successful lenalidomide treatment in high risk myelodysplastic syndrome with germline DDX41 mutation. Am. J. Hematol. 2020, 95, 227–229. [Google Scholar] [CrossRef] [PubMed]
  63. Berger, G.; van den Berg, E.; Sikkema-Raddatz, B.; Abbott, K.M.; Sinke, R.J.; Bungener, L.B.; Mulder, A.B.; Vellenga, E. Re-emergence of acute myeloid leukemia in donor cells following allogeneic transplantation in a family with a germline DDX41 mutation. Leukemia 2017, 31, 520–522. [Google Scholar] [CrossRef] [PubMed]
  64. Kobayashi, S.; Kobayashi, A.; Osawa, Y.; Nagao, S.; Takano, K.; Okada, Y.; Tachi, N.; Teramoto, M.; Kawamura, T.; Horiuchi, T.; et al. Donor cell leukemia arising from preleukemic clones with a novel germline DDX41 mutation after allogenic hematopoietic stem cell transplantation. Leukemia 2017, 31, 1020–1022. [Google Scholar] [CrossRef] [PubMed]
  65. Gibson, C.J.; Kim, H.T.; Zhao, L.; Murdock, H.M.; Hambley, B.; Ogata, A.; Madero-Marroquin, R.; Wang, S.; Green, L.; Fleharty, M.; et al. Donor Clonal Hematopoiesis and Recipient Outcomes After Transplantation. J. Clin. Oncol. 2022, 40, 189–201. [Google Scholar] [CrossRef] [PubMed]
  66. DiNardo, C.D.; Routbort, M.J.; Bannon, S.A.; Benton, C.B.; Takahashi, K.; Kornblau, S.M.; Luthra, R.; Kanagal-Shamanna, R.; Medeiros, L.J.; Garcia-Manero, G.; et al. Improving the detection of patients with inherited predispositions to hematologic malignancies using next-generation sequencing-based leukemia prognostication panels. Cancer 2018, 124, 2704–2713. [Google Scholar] [CrossRef]
Table
Table 1. Summary of DDX41 studies and identified germline mutations.
Table 1. Summary of DDX41 studies and identified germline mutations.
Study Characteristics (Author, Year, Cohort, Database)Total Number of DataNucleotide ChangeAmino Acid ChangeNumber of Patients or Families (% of Studied Patients or Families)No. of Patients with Concomitant Somatic DDX41 MutationsNo. of Patients with Hematologic Malignancies
Polprasert et al., 2015 [34]; a cohort of MDS/secondary AML, multicenter (US/Germany), and TCGA database27/1034 patients and 7 index families
(19 patients with germline mutation)		c.419insGATG
(c.415_418dupGATG)		p.D140fs14 (74%)5/148 AML
6 MDS/CMML
c.T1187Cp.I396T2 (10%)2/22 MDS
c.156_157insAp.Q52fs1 (5%)1/11 AML
c.G465Ap.M155I1 (5%)0/11 MDS
Not mentionedp.F183I1 (5%)1/11 MDS
Lewinsohn et al., 2016 [49]; a cohort of families with suspected inherited hematologic malignancies, multicenter (Australian/US) familial hematologic malignancies registry9/289 familiesc.415_418dupGATGp.D140Gfs3 familiesNot reported3 AMLs
c.3G>Ap.M1I2 familiesNot reported3 AML (1 with NHL involvement), 1 MDS, 1 CML
c.435-2_435-1delAGinsCA(predicted to produce p.W146Hfsand
p.S145Rfs)		1 familyNot reported1 MDS
c.490C>Tp.R164W1 familyNot reported3 NHL
c.1574G>Ap.R525H (suspected germline)1 familyNot reported2 MDS, 1 AML
c.1589G>Ap.G530D1 familyNot reported3 AML
Cardoso et al., 2016 [55]; a cohort of families with at least two cases of bone marrow failure and at least one of whom having MDS or AML (no detailed description of the study cohort)4/78 familiesc.3G>Ap.M1I1 familyNot reported2 MDS
c.155dupAp. R53Afs1 familyNot reported3 MDS, 1 carrier (1 CML family history with unchecked mutation)
c.719delTinsCGp.I240Tfs1 familyNot reported1 AML (1 AML family history with unchecked mutation)
c.1586-1587delCAp.T529Rfs1 familyNot reported1 MDS, 1 carrier (1 AML family history with unchecked mutation)
Sebert et al., 2019 [35]; a cohort of families with a family history of MDS, AML, AA, single-center (France) data43/1385 patients (33 patients with causal germline variants)c.G517Ap.G173R6 (18%)6/63 MDS, 1 AML, 2 AA
c.G3Ap.M1I3 (9%)3/32 AML, 1 MDS
c.992_994delp.K331del3 (9%)2/31 MDS/MPN, 1 MDS, 1 AML
c.C121Tp.Q41*2 (6%)1/22 MDS
c.418_419insGATGp.D140fs2 (6%)1/21 AML, 1 MDS/MPN
c.C1015Tp.R339C2 (6%)1/21 AA, 1 MDS
c.A1Cp.M1L1 (3%)1/11 MDS
c.69delCp.S23fs1 (3%)1/11 MDS
c.A316Tp.K106*1 (3%)0/11 CMML
c.342_346del
p.E114fs1 (3%)1/11 MDS
c.542+2A>G-1 (3%)0/11 MDS
c.644+1G>A-1 (3%)1/11 MDS
c.T649Cp.S217P1 (3%)1/11 MDS
c.A734Gp.E245G1 (3%)1/11 MDS
c.799-2T>A-1 (3%)1/11 AML
c.945delCp.H315fs1 (3%)1/11 AML
c.A1031Gp.D344G1 (3%)1/1neutropenia only
c.1088_1090delp.S363del1 (3%)1/11 AML
c.C1108Tp.Q370*1 (3%)1/11 AML
c.1298dupCp.P433fs1 (3%)0/11 AML
c.1791_1792delp.K597fs1 (3%)1/11 AML
Quesada et al., 2019 [36]; a cohort of known/suspected myeloid neoplasms, single-center (US) data34/1002 patients (32 patients with germline mutations)c.3G>Ap.M1I9 (28%)9/91 AML, 4 MDS->AML, 4 MDS
c.415_418dupGATGp.D140Gfs4 (13%)4/42 AML, 1 MDS->AML, 1 MDS
c.121C>Tp.Q41*2 (6%)2/22 MDS
c.25A>Gp.K9E1 (3%)0/11 MDS/CMML->AML
c.38C>Tp.T13I1 (3%)0/11 Post PV-MF
c.59G>Ap.G20E1 (3%)0/11 MDS
c.62_63delp.S21Tfs1 (3%)1/11 AML
c.142C>Tp.Q48*1 (3%)1/11 MDS->AML
c.298+2_298+4delTGGSplice1 (3%)1/11 MDS->AML
c.475C>Tp.R159*1 (3%)1/11 MDS->AML
c.476G>Ap.R159Q1 (3%)0/1MPN
c.572-1G>ASplice1 (3%)1/11 AML
c.608A>Gp.H203R1 (3%)0/11 MDS->AML
c.649T>Cp.S217P1 (3%)1/11 AML
c.821A>Gp.H274R1 (3%)0/11 MPN
c.1046T>Ap.M349K1 (3%)1/11 suspected MDS
c.1105C>Tp.R369*1 (3%)1/11 MDS->AML
c.1105C>Gp.R369G1 (3%)1/11 MDS
c.1771C>Tp.R591W1 (3%)0/11 MDS->AML
c.1766G>Ap.G589D1 (3%)0/11 CMML
Choi et al., 2021 [46]; a cohort of patients with ICUS/MDS/AML, single-center (Korea) data39/457 patients
(34 patients with germline mutations)		c.455T>Gp.V152G10 (29%)10/102 ICUS, 8 MDS
c.776A>Gp.Y259C9 (26%)8/92 ICUS, 7 MDS
c.1496dupCp.A500fs6 (18%)6/61 ICUS, 2 MDS, 3 AML
c.19G>Tp.E7*3 (9%)2/32 MDS, 1 AML
p.D139G2 (6%)0/21 MDS, 1 AML
p.E3K1 (3%)0/11 AML
p.Y33C1 (3%)0/11 AML
p.K187R1 (3%)0/11 AML
c.983T>Gp.L328R1 (3%)1/11 MDS
Bannon et al., 2021 [51];
a cohort of patients who were referred to genetic counseling and testing for hematologic malignancies with DDX41 mutations, single-center (US) data		33 (38 referred)/90 DDX41 germline mutations (out of 5801 heme malignancies patients) c.415_418dupGATGp.D140fs10 (30%)7/105 AML, 4 MDS (1 carrier)
c.3A>Gp.M1I8 (24%)2/84 AML, 1 MDS->AML, 2 MDS, 1 CLL
c.121C>Tp.Q41*3 (9%)2/32 AML, 1 MDS
c.337delp.E113fs1 (3%)1/11 MDS->AML
c.434+1G>A-1 (3%)0/11 MDS
c.475C>Tp.R159*1 (3%)0/11 MDS/MPN
c.547T>Gp.F183V
(VUS)		1 (3%)1/11 MDS
c.572-1G>A-1 (3%)1/11 AML
c.653G>Ap.G218D (VUS)1 (3%)0/11 MDS->AML
c.847delp.L283fs1 (3%)0/11 MDS
c.946_947delp.M316fs1 (3%)1/11 MDS
c.1004dupTp.D336fs1 (3%)1/11 MDS
c.1105C>Gp.R369G (VUS)1 (3%)1/11 MDS
c.1187T>Cp.I396T1 (3%)1/11 MDS
c.1273_1276dupCTCGp.E426fs1 (3%)1/11 AML
Qu et al., 2021 [54]; a cohort of myeloid neoplasms, single-center (China) data47/1529 patients (25 patients with germline mutation)c.1077_1078dupTAp.T360Ifs3 (12%)3/33 MDS
c.935+4A>T-3 (12%)2/31 AML, 1 MDS, 1 Post-ET MF
c. C1105Tp.R369*2 (8%)2/21 AML, 1 MDS
c. T455Gp.V152G2 (8%)2/22 MDS
c.647dupTp.S217Ifs2 (8%)1/21 MDS, 1 Post-ET MF
c. C931Tp.R311*2 (8%)2/22 MDS
c. G3Tp.M1I1 (4%)1/11 MDS
c. G391Tp.E131*1 (4%)1/11 MDS
c. G553Tp.E185*1 (4%)1/11 AML
c.572-1G>C-1 (4%)1/11 MDS
c. C773Tp.P258L1 (4%)1/11 MDS
c.865delTp.S289Hfs1 (4%)0/11 MDS
c.1213_1216delp.S405Wfs1 (4%)1/11 MDS
c.1296_1298dupp.P434dup1 (4%)1/11 MDS
c. G1531Tp.E511*1 (4%)1/11 MDS
c. A776Gp.Y259C1 (4%)1/11 MDS
c.T983Gp.L328R1 (4%)1/11 MDS
Alkhateeb et al., 2022 [56]; a cohort of myeloid neoplasm patients, single-center (US) data33/4524 patients
(likely 25 germline patients)		c.3G>Ap.M1I10 (40%)1/104 AML, 5 MDS (1 carrier)
c.415_418dupp.D140Gfs5 (20%)0/54 MDS, 1 AML
c.1589G>Ap.G530D2 (8%)0/21 MDS, 1 AML
c.121C>Tp.Q41*1 (4%)0/11 AML
c.305_306delp.K102Rfs1 (4%)1/11 AML
c.337delp.E113Kfs1 (4%)0/11 MPN
c.434+1G>A-1 (4%)0/11 MDS
c.776A>Gp.Y259C1 (4%)1/11 MDS
c.931C>Tp.R311*1 (4%)1/11 AML
c.946_947delp.M316D1 (4%)0/11 MDS
c.1102C>Tp.Q368*1 (4%)0/11 MDS
Li et al., 2022 [50]; a cohort of patients with hematologic malignancies, multi-center (US) data **176/9821 patients, 116 patients with causal variantsc.3G>Ap.M1I42 (36%)35/4224 AML, 13 MDS, 5 CCUS
c.415_418dupp.D140fs23 (20%)15/2318 AML, 2 MDS, 1 MPN, 2 CCUS
c.475C>Tp.R159*3 (3%)3/31 AML, 1 MDS, 1 CCUS
c.931C>Tp.R311*3 (3%)3/31 AML, 2 MDS
c.946_947delp.M316fs3 (3%)2/31 AML, 1 MPN, 1 CCUS
c.992_994delp.K331del3 (3%)2/31 AML, 2 MDS
c.1105C>Tp.R369*3 (3%)3/32 AML, 1 CCUS
c.121C>Tp.Q41*2 (2%)1/22 AML
c.773C>Tp.P258L2 (2%)2/21 AML, 1 CCUS
c.1046T>Ap.M349K2 (2%)0/22 AML
c.1105C>Gp.R369G2 (2%)2/21 AML, 1 MDS
c.130C>Tp.Q44*1 (1%)1/11 MDS
c.323delp.K108fs1 (1%)1/11 AML
c.430delp.T144fs1 (1%)1/11 CCUS
c.566C>Tp.P189L1 (1%)1/11 MDS
c.645-1G>T-1 (1%)1/11 AML
c.646C>Gp.L216V1 (1%)1/11 AML
c.649T>Cp.S217P1 (1%)1/11 CCUS
c.653G>Ap.G218D1 (1%)1/11 AML
c.668dupp.I224fs1 (1%)1/11 AML
c.710T>Gp.L237W1 (1%)1/11 MDS
c.776A>Gp.Y259C1 (1%)1/11 CCUS
c.847delp.L283fs1 (1%)1/11 AML
c.916C>Tp.Q306*1 (1%)0/11 MPN
c.967C>Tp.R323C1 (1%)1/11 AML
c.1015C>Tp.R339C1 (1%)1/11 MDS
c.1016G>Ap.R339H1 (1%)0/11 MDS
c.1016G>Tp.R339L1 (1%)1/11 CCUS
c.1018T>Ap.Y340N1 (1%)1/11 MDS
c.1108C>Tp.Q370*1 (1%)1/11 AML
c.1141A>Tp.K381*1 (1%)1/11 MPN
c.1354delp.L452fs1 (1%)1/11 CCUS
c.1394delp.G465fs1 (1%)1/11 AML
c.1399G>Tp.D467Y1 (1%)1/11 AML
c.1496dupp.A500fs1 (1%)1/11 MDS
c.1504C>Tp.Q502*1 (1%)1/1MDS
c.1574G>Ap.R525H1 (1%)0/11 AML
c.1586_ 1587delCAp.T529fs1 (1%)0/11 CCUS
c.1628C>Gp.S543*1 (1%)1/11 CCUS
Duployez et al, 2022 [57]; a cohort of 5 prospective trials and additional diagnostic samples, multi-center (France) data191 AML patients with germline mutationsc.415_418dupp.D140fs32 (17%)27/32All AML patients
c.3G>Ap.M1?19 (10%)15/19
c.517G>Ap.G173R10 (5%)8/10
c.847delp.L283fs9 (5%)7/9
c.1088_1090delp.S363del9 (%)8/9
c.138+1G>C 65/6
c.653G>Ap.G218D55/5
c.992_994delp.K331del54/5
c.268C>Tp.Q90*44/4
c.305_306delp.K102fs44/4
c.804delp.E268fs44/4
c.55G>Tp.G19*32/3
c.121C>Tp.Q41*33/3
c.936-1G>A-32/3
c.1212_1226delinsAGp.S405fs33/3
c.1334_1336delp.V445del32/3
c.1496delp.P499fs33/3
c.1A>Cp.M1?22/2
c.316A>Tp.K106*22/2
c.571G>Ap.A191T22/2
c.656G>Ap.R219H20/2
c.935+2T>C-21/2
c.945delp.H315fs21/2
c.1031A>Gp.D344G22/2
c.1098+1G>A-22/2
c.1105C>Tp.R369*21/2
c.1298delp.P433fs22/2
c.1504C>Tp.Q502*21/2
c.1585dupp.T529fs21/2
c.2T>Cp.M1?11/1
c.69delp.S23fs11/1
c.130C>Tp.Q44*10/1
c.142C>Tp.Q48*11/1
c.156_157delinsTTp.Q52_R53delinsH11/1
c.325C>Tp.Q109*11/1
c.342_346delp.E114fs11/1
c.364G>Tp.E122*11/1
c.373+1G>A-10/1
c.434+1G>T-11/1
c.436T>Cp.W146R11/1
c.475C>Tp.R159*11/1
c.622C>Gp.Q208E11/1
c.643A>Cp.I215L10/1
c.644T>Cp.I215T10/1
c.649T>Cp.S217P11/1
c.668G>Ap.G223D11/1
c.758C>Gp.S252*11/1
c.791G>Ap.C264Y11/1
c.799-2A>T-11/1
c.805dupp.L269fs10/1
c.931C>Tp.R311*10/1
c.958A>Tp.T320S10/1
c.959C>Tp.T320I11/1
c.967C>Ap.R323S11/1
c.967C>Tp.R323C10/1
c.968G>Ap.R323H11/1
c.998T>Ap.V333D11/1
c.1033G>Ap.E345K11/1
c.1037C>Ap.A346D11/1
c.1105C>Gp.R369G11/1
c.1108C>Tp.Q370*11/1
c.1118_1127delp.L373fs11/1
c.1212_1224delp.L406fs11/1
c.1252G>Tp.E418*11/1
c.1298dupp.P433fs11/1
c.1463C>Ap.A488D11/1
c.1514T>Ap.I505N11/1
c.1615delp.A539fs11/1
c.1628C>Gp.S543*11/1
c.1732+1del-11/1
c.1791_1792delp.K597fs11/1
Abbreviation: AML: acute myeloid leukemia, ICUS: idiopathic cytopenia of undetermined significance, CML: chronic myeloid leukemia, CMML: chronic myelomonocytic leukemia, MDS: myeloid dysplastic syndrome, MPN: myeloproliferative neoplasm, NHL: non-Hodgkin’s lymphoma, post-PV MF: post-polycythemia vera myelofibrosis, post-ET MF: post-essential thrombocythemia myelofibrosis, VUS: variant of uncertain significance. ** Only included causal variants in the table (excluded VUS).
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Kim, K.; Ong, F.; Sasaki, K. Current Understanding of DDX41 Mutations in Myeloid Neoplasms. Cancers 2023, 15, 344. https://doi.org/10.3390/cancers15020344

AMA Style

Kim K, Ong F, Sasaki K. Current Understanding of DDX41 Mutations in Myeloid Neoplasms. Cancers. 2023; 15(2):344. https://doi.org/10.3390/cancers15020344

Chicago/Turabian Style

Kim, Kunhwa, Faustine Ong, and Koji Sasaki. 2023. "Current Understanding of DDX41 Mutations in Myeloid Neoplasms" Cancers 15, no. 2: 344. https://doi.org/10.3390/cancers15020344

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